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Last updated: 2019-12-03.

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Adam D. Smith

I currently work as a Quantitative Ecologist with the United States Fish & Wildlife Service Inventory and Monitoring Program. I provide ecological and analytical assistance to the roughly 130 National Wildlife Refuges in 10 southeastern states.

I engage in diverse partnerships with conservation and resource management agencies and organizations to support a research program built around modern quantitative tools and approaches to understand the ecology and conservation of migratory animals. This integrative, multi-scale approach facilitates collaborative research relevant to conservation and management. I primarily use digitally-coded telemetry and GPS logging technology in landscape and local scale questions relative to anthropogenic influences. I am an open science advocate.

Education

PhD. Candidate, Biostatistics

Vanderbilt University

Nashville, TN

2020

  • Working on Bayesian network models & interactive visualization platforms
  • University Graduate Fellow

B.S., Mathematics, Statistics (minor C.S.)

University of Vermont

Burlington, VT

2015

  • Thesis: An agent based model of Diel Vertical Migration patterns of Mysis diluviana

Professional Experience

Graduate Research Assistant

TBILab (Yaomin Xu’s Lab)

Vanderbilt University

2020 - 2015

  • Primarily working with large EHR and Biobank datasets.
  • Developing network-based methods to investigate and visualize clinically relevant patterns in data.

Data Science Researcher

Data Science Lab

Johns Hopkins University

2018 - 2017

  • Building R Shiny applications in the contexts of wearables and statistics education.
  • Work primarily done in R Shiny and Javascript (node and d3js).

Undergraduate Researcher

Rubenstein Ecosystems Science Laboratory

University of Vermont

2015 - 2013

  • Analyzed and visualized data for CATOS fish tracking project.
  • Head of data mining project to establish temporal trends in population densities of Mysis diluviana (Mysis).
  • Ran project to mathematically model the migration patterns of Mysis (honors thesis project.)

Human Computer Interaction Researcher

LabInTheWild (Reineke Lab)

University of Michigan

2015

  • Led development and implementation of interactive data visualizations to help users compare themselves to other demographics.

Undergraduate Researcher

Bentil Laboratory

University of Vermont

2014 - 2013

  • Developed mathematical model to predict the transport of sulfur through the environment with applications in waste cleanup.

Research Assistant

Adair Laboratory

University of Vermont

2013 - 2012

  • Independently analyzed and constructed statistical models for large data sets pertaining to carbon decomposition rates.

Publications

Charge Reductions Associated with Shortening Time to Recovery in Septic Shock

Chest

N/A

2019

  • Authored with Wesley H. Self, MD MPH; Dandan Liu, PhD; Stephan Russ, MD, MPH; Michael J. Ward, MD, PhD, MBA; Nathan I. Shapiro, MD, MPH; Todd W. Rice, MD, MSc; Matthew W. Semler, MD, MSc.

Multimorbidity Explorer | A shiny app for exploring EHR and biobank data

RStudio::conf 2019

N/A

2019

  • Contributed Poster. Authored with Yaomin Xu.

Taking a network view of EHR and Biobank data to find explainable multivariate patterns

Vanderbilt Biostatistics Seminar Series

N/A

2019

  • University wide seminar series.

Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records

Under-Review (copy available upon request.)

N/A

2019

  • Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
  • Analysis done using method built for my dissertation.

Patient specific comorbidities impact overall survival in myelofibrosis

Under-Review (copy available upon request.)

N/A

2019

  • Bayesian network analysis used to find robust novel subgroups of patients with given genetic mutations.
  • Analysis done using method built for my dissertation.

R timelineViz: Visualizing the distribution of study events in longitudinal studies

Under-Review (copy available upon request.)

N/A

2018

  • Authored with Alex Sunderman of the Vanderbilt Department of Epidemiology.

Continuous Classification using Deep Neural Networks

Vanderbilt Biostatistics Qualification Exam

N/A

2017

  • Review of methods for classifying continuous data streams using neural networks
  • Successfully met qualifying examination standards

Asymmetric Linkage Disequilibrium: Tools for Dissecting Multiallelic LD

Journal of Human Immunology

N/A

2015

  • Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.

An Agent Based Model of Mysis Migration

International Association of Great Lakes Research Conference

N/A

2015

  • Authored with Brian O’Malley, Sture Hansson, and Jason Stockwell.

Declines of Mysis diluviana in the Great Lakes

Journal of Great Lakes Research

N/A

2015

  • Authored with Peter Euclide and Jason Stockwell.

Presentations

Teaching Experience

Data Visualization Best Practices

DataCamp

N/A

2019

  • Designed from bottom up course to teach best practices for scientific visualizations.
  • Uses R and ggplot2.
  • In top 10% on platform by popularity.

Improving your visualization in Python

DataCamp

N/A

2019

  • Designed from bottom up course to teach advanced methods for enhancing visualization.
  • Uses python, matplotlib, and seaborn.

Advanced Statistical Learning and Inference

Vanderbilt Biostatistics Department

Nashville, TN

2018 - 2017

  • TA and lectured
  • Topics covered from penalized regression to boosted trees and neural networks
  • Highest level course offered in department

Advanced Statistical Computing

Vanderbilt Biostatistics Department

Nashville, TN

2018

  • TA and lectured
  • Covered modern statistical computing algorithms
  • 4th year PhD level class

Statistical Computing in R

Vanderbilt Biostatistics Department

Nashville, TN

2017

  • TA and lectured
  • Covered introduction to R language for statistics applications
  • Graduate level class